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Computations underlying sensorimotor learning


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Publication Date: 2015-12-23

Journal Title: Opinion in Neurobiology

Publisher: Elsevier

Volume: 37

Pages: 7-11

Language: English

Type: Article

Metadata: Show full item record

Citation: Wolpert, D. M., & Flanagan, J. R. (2015). Computations underlying sensorimotor learning. Opinion in Neurobiology, 37 7-11.

Description: This is the author accepted manuscript. The final version is available from Elsevier via http://dx.doi.org/10.1016/j.conb.2015.12.003

Abstract: The study of sensorimotor learning has a long history. With the advent of innovative techniques for studying learning at the behavioral and computational levels new insights have been gained in recent years into how the sensorimotor system acquires, retains, represents, retrieves and forgets sensorimotor tasks. In this review we highlight recent advances in the field of sensorimotor learning from a computational perspective. We focus on studies in which computational models are used to elucidate basic mechanisms underlying adaptation and skill acquisition in human behavior.

Sponsorship: This work was supported by the Wellcome Trust, the Human Frontiers Science Program, the Royal Society (Noreen Murray Professorship in Neurobiology to D.M.W.) and the Canadian Institutes of Health Research.

Identifiers:

This record's URL: https://www.repository.cam.ac.uk/handle/1810/252947http://dx.doi.org/10.1016/j.conb.2015.12.003





Autor: Wolpert, Daniel M.Flanagan, J. Randall

Fuente: https://www.repository.cam.ac.uk/handle/1810/252947



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